Wearable Pre-Impact Fall Detection System Based on 3D Accelerometer and Subject's Height

This study presents a low-power wearable system able to predict a fall by detecting a pre-impact condition, performed through a simple analysis of motion data (acceleration) and height of the subject. The system can detect a fall in all directions with an average consumption of 5.91 mA; i.e., it can...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE sensors journal Ročník 22; číslo 2; s. 1738 - 1745
Hlavní autori:	Ferreira de Sousa, Felipe Augusto Sodre, Escriba, Christophe, Avina Bravo, Eli Gabriel, Brossa, Vincent, Fourniols, Jean-Yves, Rossi, Carole
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 15.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Predmet:	Accelerometers Air bags Algorithms Biomedical monitoring Classification algorithms Customizable algorithm Electronics Engineering Sciences Fall detection fall detection system False alarms Injuries Instrumentation and Detectors Lead time Physics pre-impact detection Senior citizens Sensitivity Signal and Image processing threshold-based wearable systems Wearable technology Threshold-based Pre-impact detection Wearable systems Customizable algorithm Fall Detection System
ISSN:	1530-437X, 1558-1748
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!